基于二进小波的雷达干涉图条纹探测相位解绕

Phase Unwrapping of SAR Interferogram Based on Dyadic Wavelets

以二进小波和相位解绕理论为基础 ,利用二进小波变换的快速算法 ,对雷达干涉条纹图进行多尺度相位突变边缘探测 ,进而根据信号和噪声的奇异性在二进小波变换下的局部模极大值随尺度变化的不同演化规律 ,提出了对雷达干涉条纹图的噪声有一定压制的基于二进小波的干涉条纹检测的相位解绕算法。结果表明 ,在噪声没有严重破坏相位突变边缘的情况下 ,相位解绕结果是令人满意的。

Based on dyadic wavelets and phase unwrapping theory, the multiscale phase sharp variation edges of SAR interferogram are detected by fast dyadic wavelet transform. Furthermore, the different evolution of local maximum of singularity of signal and noise is used at different scale for dyadic wavelet transform. This paper present an algorithm of phase unwrapping based on fringe detection that can suppress the noise to some extent. The result indicates that the phase unwrapping result is satisfactory if the sharp variation edges of SAR interferogram is not seriously corrupted by the noise.